Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs

Autores
Díaz López, Juan Manuel; Mateos, Diego Martín; Boyallián, Carina
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fil: Díaz López, Juan Manuel. Instituto Argentino de Ciencias de la Conducta; Argentina.
Fil: Díaz López, Juan Manuel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Mateos, Diego Martín. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Mateos, Diego Martín. Hospital for Sick Children. Division of Neurology; Canadá.
Fil: Mateos, Diego Martín. University of Toronto. Institute of Medical Science and Department of Paediatrics; Canadá.
Fil: Boyallián, Carina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Boyallián, Carina. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; Argentina.
Fil: Boyallián, Carina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigación y Estudios de Matemática; Argentina.
In the clinical electrophysiological practice, reading and comparing electroencephalographic (EEG) recordings are sometimes insufficient and take too much time. Tools coming from the information theory or nonlinear systems theory such as entropy and complexity have been presented as an alternative to address this problem. In this work, we introduce a novel method-the permutation Lempel-Ziv Complexity vs. Permutation Entropy map. We apply this method to the EEGs of two patients with specific diagnosed pathologies during respective follow up processes of pharmacological changes in order to detect alterations that are not evident with the usual inspection method. The method allows for comparing between different states of the patients´ treatment, with a healthy control group, given global information about the signal, supplementing the traditional method of visual inspection of EEG.
http://www.mdpi.com/1099-4300/19/10/540
publishedVersion
Fil: Díaz López, Juan Manuel. Instituto Argentino de Ciencias de la Conducta; Argentina.
Fil: Díaz López, Juan Manuel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Mateos, Diego Martín. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Mateos, Diego Martín. Hospital for Sick Children. Division of Neurology; Canadá.
Fil: Mateos, Diego Martín. University of Toronto. Institute of Medical Science and Department of Paediatrics; Canadá.
Fil: Boyallián, Carina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Boyallián, Carina. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; Argentina.
Fil: Boyallián, Carina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigación y Estudios de Matemática; Argentina.
Otras Ciencias Naturales y Exactas
Materia
Permutation entropy
Permutation complexity
Pharmacological treatment
Electroencephalography
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Repositorio
Repositorio Digital Universitario (UNC)
Institución
Universidad Nacional de Córdoba
OAI Identificador
oai:rdu.unc.edu.ar:11086/555684
Acceder
id RDUUNC_22f1bd8aa8c655d2629738e3b6b375a5
oai_identifier_str oai:rdu.unc.edu.ar:11086/555684
network_acronym_str RDUUNC
repository_id_str 2572
network_name_str Repositorio Digital Universitario (UNC)
spelling Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugsDíaz López, Juan ManuelMateos, Diego MartínBoyallián, CarinaPermutation entropyPermutation complexityPharmacological treatmentElectroencephalographyFil: Díaz López, Juan Manuel. Instituto Argentino de Ciencias de la Conducta; Argentina.Fil: Díaz López, Juan Manuel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.Fil: Mateos, Diego Martín. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.Fil: Mateos, Diego Martín. Hospital for Sick Children. Division of Neurology; Canadá.Fil: Mateos, Diego Martín. University of Toronto. Institute of Medical Science and Department of Paediatrics; Canadá.Fil: Boyallián, Carina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.Fil: Boyallián, Carina. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; Argentina.Fil: Boyallián, Carina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigación y Estudios de Matemática; Argentina.In the clinical electrophysiological practice, reading and comparing electroencephalographic (EEG) recordings are sometimes insufficient and take too much time. Tools coming from the information theory or nonlinear systems theory such as entropy and complexity have been presented as an alternative to address this problem. In this work, we introduce a novel method-the permutation Lempel-Ziv Complexity vs. Permutation Entropy map. We apply this method to the EEGs of two patients with specific diagnosed pathologies during respective follow up processes of pharmacological changes in order to detect alterations that are not evident with the usual inspection method. The method allows for comparing between different states of the patients´ treatment, with a healthy control group, given global information about the signal, supplementing the traditional method of visual inspection of EEG.http://www.mdpi.com/1099-4300/19/10/540publishedVersionFil: Díaz López, Juan Manuel. Instituto Argentino de Ciencias de la Conducta; Argentina.Fil: Díaz López, Juan Manuel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.Fil: Mateos, Diego Martín. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.Fil: Mateos, Diego Martín. Hospital for Sick Children. Division of Neurology; Canadá.Fil: Mateos, Diego Martín. University of Toronto. Institute of Medical Science and Department of Paediatrics; Canadá.Fil: Boyallián, Carina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.Fil: Boyallián, Carina. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; Argentina.Fil: Boyallián, Carina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigación y Estudios de Matemática; Argentina.Otras Ciencias Naturales y Exactashttps://orcid.org/0000-0001-7068-4004https://orcid.org/0000-0002-1953-0875https://orcid.org/0000-0001-9347-89402017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfDíaz López, J. M., Mateos, D. M. y Boyallián, C. (2017). Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs. Entropy, 19 (10). https://doi.org/10.3390/e19100540http://hdl.handle.net/11086/5556841099-4300https://doi.org/10.3390/e19100540enginfo:eu-repo/semantics/openAccessreponame:Repositorio Digital Universitario (UNC)instname:Universidad Nacional de Córdobainstacron:UNC2025-09-29T13:41:55Zoai:rdu.unc.edu.ar:11086/555684Institucionalhttps://rdu.unc.edu.ar/Universidad públicaNo correspondehttp://rdu.unc.edu.ar/oai/snrdoca.unc@gmail.comArgentinaNo correspondeNo correspondeNo correspondeopendoar:25722025-09-29 13:41:55.985Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdobafalse
dc.title.none.fl_str_mv Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs
title Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs
spellingShingle Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs
Díaz López, Juan Manuel
Permutation entropy
Permutation complexity
Pharmacological treatment
Electroencephalography
title_short Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs
title_full Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs
title_fullStr Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs
title_full_unstemmed Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs
title_sort Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs
dc.creator.none.fl_str_mv Díaz López, Juan Manuel
Mateos, Diego Martín
Boyallián, Carina
author Díaz López, Juan Manuel
author_facet Díaz López, Juan Manuel
Mateos, Diego Martín
Boyallián, Carina
author_role author
author2 Mateos, Diego Martín
Boyallián, Carina
author2_role author
author
dc.contributor.none.fl_str_mv https://orcid.org/0000-0001-7068-4004
https://orcid.org/0000-0002-1953-0875
https://orcid.org/0000-0001-9347-8940
dc.subject.none.fl_str_mv Permutation entropy
Permutation complexity
Pharmacological treatment
Electroencephalography
topic Permutation entropy
Permutation complexity
Pharmacological treatment
Electroencephalography
dc.description.none.fl_txt_mv Fil: Díaz López, Juan Manuel. Instituto Argentino de Ciencias de la Conducta; Argentina.
Fil: Díaz López, Juan Manuel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Mateos, Diego Martín. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Mateos, Diego Martín. Hospital for Sick Children. Division of Neurology; Canadá.
Fil: Mateos, Diego Martín. University of Toronto. Institute of Medical Science and Department of Paediatrics; Canadá.
Fil: Boyallián, Carina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Boyallián, Carina. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; Argentina.
Fil: Boyallián, Carina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigación y Estudios de Matemática; Argentina.
In the clinical electrophysiological practice, reading and comparing electroencephalographic (EEG) recordings are sometimes insufficient and take too much time. Tools coming from the information theory or nonlinear systems theory such as entropy and complexity have been presented as an alternative to address this problem. In this work, we introduce a novel method-the permutation Lempel-Ziv Complexity vs. Permutation Entropy map. We apply this method to the EEGs of two patients with specific diagnosed pathologies during respective follow up processes of pharmacological changes in order to detect alterations that are not evident with the usual inspection method. The method allows for comparing between different states of the patients´ treatment, with a healthy control group, given global information about the signal, supplementing the traditional method of visual inspection of EEG.
http://www.mdpi.com/1099-4300/19/10/540
publishedVersion
Fil: Díaz López, Juan Manuel. Instituto Argentino de Ciencias de la Conducta; Argentina.
Fil: Díaz López, Juan Manuel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Mateos, Diego Martín. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Mateos, Diego Martín. Hospital for Sick Children. Division of Neurology; Canadá.
Fil: Mateos, Diego Martín. University of Toronto. Institute of Medical Science and Department of Paediatrics; Canadá.
Fil: Boyallián, Carina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Fil: Boyallián, Carina. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; Argentina.
Fil: Boyallián, Carina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigación y Estudios de Matemática; Argentina.
Otras Ciencias Naturales y Exactas
description Fil: Díaz López, Juan Manuel. Instituto Argentino de Ciencias de la Conducta; Argentina.
publishDate 2017
dc.date.none.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv Díaz López, J. M., Mateos, D. M. y Boyallián, C. (2017). Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs. Entropy, 19 (10). https://doi.org/10.3390/e19100540
http://hdl.handle.net/11086/555684
1099-4300
https://doi.org/10.3390/e19100540
identifier_str_mv Díaz López, J. M., Mateos, D. M. y Boyallián, C. (2017). Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs. Entropy, 19 (10). https://doi.org/10.3390/e19100540
1099-4300
url http://hdl.handle.net/11086/555684
https://doi.org/10.3390/e19100540
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositorio Digital Universitario (UNC)
instname:Universidad Nacional de Córdoba
instacron:UNC
reponame_str Repositorio Digital Universitario (UNC)
collection Repositorio Digital Universitario (UNC)
instname_str Universidad Nacional de Córdoba
instacron_str UNC
institution UNC
repository.name.fl_str_mv Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdoba
repository.mail.fl_str_mv oca.unc@gmail.com
_version_ 1844618914351284224
score 13.070432

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